IgG glycosylation associates with risk of progression from latent to active tuberculosis

Julie G. Burel, Wenjun Wang, Manfred Wuhrer, Martin Dedicoat, Thomas E. Fletcher, Adam F Cunningham, Matthew K O'Shea*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

OBJECTIVES: Glycosylation motifs shape antibody structure, stability and antigen affinity and play an important role in antibody localization and function. Serum IgG glycosylation profiles are significantly altered in infectious diseases, including tuberculosis (TB), but have not been studied in the context of progression from latent to active TB.

METHODS: We performed a longitudinal study of paired bulk IgG glycosylation and transcriptomic profiling in blood from individuals with active TB (ATB) or latent TB infection (LTBI) before and after treatment.

RESULTS: We identified that a combination of two IgG1 glycosylation traits were sufficient to distinguish ATB from LTBI with high specificity and sensitivity, prior to, and after treatment. Importantly, these two features positively correlated with previously defined cellular and RNA signatures of ATB risk in LTBI, namely monocyte to lymphocyte ratio and the expression of interferon (IFN)-associated gene signature of progression (IFN-risk signature) in blood prior to treatment. Additional glycosylation features at higher prevalence in LTBI individuals with high expression of the IFN-risk signature prior to treatment included fucosylation on IgG1, IgG2 and IgG3.

CONCLUSIONS: Together, our results demonstrate that bulk IgG glycosylation features could be useful in stratifying the risk of LTBI reactivation and progression to ATB.

Original languageEnglish
Article number106115
Number of pages10
JournalJournal of Infection
Volume88
Issue number3
Early online date1 Feb 2024
DOIs
Publication statusPublished - Mar 2024

Bibliographical note

Funding:
This work was supported by The University of Birmingham.

Copyright:
© 2024 The Authors. Published by Elsevier Ltd.

Keywords

  • Tuberculosis
  • IgG glycosylation
  • Blood biomarkers
  • Transcriptomics

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